Machine Learning Engineer

Cape Town FULL TIME R50,000 - R75,000 / Month
(R600,000 - R900,000 / Year)

Job Description

We are on the lookout for a talented Machine Learning Engineer to join our Cape Town office. You will be responsible for designing and implementing cutting-edge machine learning solutions, contributing to transformative projects that have a significant impact on our clients and the industry.

Responsibilities

  • Implement scalable machine learning solutions to solve complex business problems.
  • Collaborate with product teams to align machine learning initiatives with business goals.
  • Perform model validation and testing to ensure robustness.
  • Monitor and maintain machine learning systems and address issues as they arise.
  • Contribute to open-source projects and community discussions as a representative of the company.
  • Provide training sessions on machine learning concepts and tools for team members.

Requirements

Education
  • Bachelor's degree in a relevant field
  • Master's degree in Machine Learning, AI, or related field is preferred
Experience
  • 4+ years of experience in a machine learning or data science position
Technical Skills
  • R
  • Deep Learning
Soft Skills
  • Communication skills
  • Leadership
Certifications
  • AWS Certified Machine Learning
  • Certified Analytics Professional
Languages
  • English: Fluent

Advantageous

  • Familiarity with cloud platforms like AWS and Azure: Understanding of deploying machine learning models on cloud services.
  • Participation in hackathons and competitions: Engagement in coding competitions or hackathons to sharpen skills.

Benefits

  • Attractive salary package and incentives
  • Health, dental, and vision coverage
  • Generous leave policies and work-life balance
  • Access to cutting-edge technology and resources

Company Culture

  • Collaboration: Working together is essential to our success; we foster a collaborative environment.
  • Flexibility: We offer flexible work arrangements to support our team's needs.
  • Recognition: We believe in recognizing and rewarding our team's efforts and achievements.
Status: Closed